Evidence supporting a rich memory for associations suggests that people can store perceptual details in the form of exemplars. The resulting particulate model of category contents allows the application of evolution theory in modeling category change, because variation in categorized percepts is reflected in the distribution of exemplars in a category. Within a production-perception feedback lo...

The experimental investigation of language-mediated visual attention is a promising way to study the interaction of the cognitive systems involved in language, vision, attention, and memory. Here we highlight four challenges for a mechanistic account of this oculomotor behavior: the levels of representation at which language-derived and vision-derived representations are integrated; attentional...

We present a prototype of a novel online platform for promoting playful learning exercises in classrooms, allowing teachers to engage with students in an interactive way. Differently from typical e-learning environments, it is the teacher, not the machine, who leads the learning activity, i.e., she is able to monitor students’ individual and aggregated answers and provide them real-time feedbac...

This paper introduces a method for learning bilingual term and sentence level alignments for the purpose of building bilingual lexicons. Combining statistical techniques with linguistic knowledge, a general algorithm is developed for learning term and sentence alignments from large bilingual corpora with high accuracy. This is achieved through the use of ltered linguistic feedback between term ...

Different linguistic modalities (speech or sign) offer different levels at which signals can iconically represent the world. One hypothesis argues that this iconicity has an effect on how linguistic structure emerges. However, exactly how and why these effects might come about is in need of empirical investigation. In this contribution, we present a signal creation experiment in which both the ...

The Antelope linguistic platform, inspired by Meaning-Text Theory, targets the syntactic and semantic analysis of texts, and can handle large corpora. Antelope integrates several pre-existing (parsing) components as well as broad-coverage linguistic data originating from various sources. Efforts towards integration of all components nonetheless make for a homogeneous platform. Our direct contri...

This article reviews recent literature on the role of top-down feedback processes in semantic representations in the brain. Empirical studies on perception and theoretical models of semantic cognition show that sensory input is filtered and interpreted based on predictions from higher order cognitive areas. Here, we review the present evidence to the proposal that linguistic constructs, in part...

in this paper, an interactive model for individual normal behaviour of drivers is presented in which the mutual effect of vehicles has been incorporated. temporal features obtained from vehicles tracking and their motion history is utilized for generating a model of normal behaviour. because of non-stationarity of behaviour, hidden markov model has been used for interactive model. this model ha...

the aim of this study was to determine the interactional effects of various video shows (skilled and self-model) and feedback type on performance and learning of dart throwing skill. 90 volunteers were randomly divided into 6 groups including self-control, experimenter control and yoked feedback that received either skilled model or self-model. three groups who watched the skilled model observe...

A model has been computer-implemented which is capable of producing and/or perceiving speech items (sounds, syllables, words, or short utterances). The organization of the model is given in Fig. 1 (see also Kröger et al. 2009a). Its cognitive linguistic module is not modelled in detail in this neurophonetic approach but it can be assumed that this module is subdivided into a procedural and a de...